Course content

To see details about the live ‘Introduction to multiomics data integration and visualisation’ course and the original programme, you can refer to the course page and programme.

The contents table below outlines the different sessions that were included in the course, as well as the format of the materials (slides/videos/practicals) and each session’s trainer. Either proceed through the materials using the arrows at the end of each page or pick your topic of interest from the table below to skip straight to it.

 Presentation slides –  View or download the slides

 Recorded lectures – Watch the lecture videos 

 Practicals – View or download the slides, exercises, datasets, analysis scripts and results

Format	Subject	Trainer
	Concepts and methods in multiomics data integration
	Multiple ways to integrate multiomics data – case studies from studying human diseases	Tamás Korcsmáros
	Knowledge-based machine learning to extract disease mechanisms from spatial multi-omics	Julio Saez Rodriguez
	Introduction to network propagation	Thodoris Koutsandreas
	Introductory lecture on stats methods	Ricard Argelaguet
	Multi-Omics Factor Analysis (MOFA)	Ricard Argelaguet
	Rostro-caudal regionalisation of the Müllerian ducts during prenatal development	Valentina Lorenzi
	Single-cell roadmap of human gonadal development (from 2024 edition)	Valentina Lorenzi
	Single-cell multiomics map of human B-lymphopoiesis	Roser Villarasa Blasi
	Exploring lymphocyte developmental origins (from 2024 edition)	Chenqu Suo
	Tools and resources in data integration and visualisation
	Building networks and pathways with Cytoscape	Marton Olbei
	Introduction to multiomics integration using COSMOS	Aurelien Dugourd
	Multiomics comparative pathway analysis using Reactome analysis tools and pathway browser (from 2024 edition)	Eliot Ragueneau
	Group projects
	Multi-omic analysis and integration with prior knowledge to study signalling and metabolism deregulations in cancer cell lines	Aurelien Dugourd
	Modelling gene regulation from transcriptomics and chromatin accessibility single-cell data	Pau Badia i Mompel
	Single-cell multi-omics integration in Alzheimer’s disease	Umran Yaman and Theodoros Koutsandreas
	Multi-Omics Integration for Personalised Medicine	Florin Walter